General Information...
My name is Konstantinos Giannakopoulos and I am from Thessaloniki, Greece. I got my Bachelor's Degree (BSc) in "Computer Science" from the Department of Informatics of Aristotle University of Thessaloniki (Greece) in 2008. Currently I am a PhD-graduate student at the Computer Science Department, at the University of Pittsburgh.
As an undergraduate student I have obtained both theoretical knowledge and programming experience. More specifically, at the courses of Databases, Database Implementation, Information Retrieval and Distributed Systems, I had the opportunity to obtain the theoretical knowledge of relational, object-oriented and object-relational databases and I implemented database systems in the assigned projects. In addition, in the course of Decision Support Theory and Systems, I had been taught the basic concepts of Machine Learning and Knowledge Discovery in Databases (KDD). In the field of Machine Learning I was introduced to some of the main techniques, such as Concept Learning, Decision Trees (specifically the ID3 Algorithm), Bayes, Neural Networks, Association Rules (specifically the Apriori Algorithm) and Clustering (specifically the K-means Algorithm). In the Knowledge Discovery in Databases, I had the opportunity to learn how the above mentioned techniques can be used in order to retrieve data from databases.
As a graduate student, my field of research is Databases and Data Management. I am member of the Database Research Group of the Computer Science Department of the University of Pittsburgh. My advisors are Prof. Alexandros Labrinidis and Prof. Panos K. Chrysanthis.